Results 61 to 70 of about 2,488 (163)
Water Resources Research, Volume 62, Issue 1, January 2026.Abstract Machine learning models are highly potential to substitute computationally intensive numerical simulation models in saltwater intrusion (SWI) remediation optimization. However, uncertainty inherent in machine learning models can propagate through predictions into optimization, resulting in inaccurate solutions.
Yulu Huang, Jina Yin, Chunhui Lu
wiley +1 more source
IET Collaborative Intelligent Manufacturing, Volume 8, Issue 1, January/December 2026.This study addresses an integrated job shop scheduling problem with material handling robots, aiming to minimise the maximum completion time. Three meta‐heuristics, seven local search strategies and two reinforcement learning algorithms are proposed to solve the problems.
Qi Jia +3 more
wiley +1 more source
, 1994 A formal, representation-independent form of a memetic algorithm -- a genetic algorithm incorporating local search -- is introduced. A generalised form of N-point crossover is defined together with representation-independent patching and hill-climbing ...
Nicholas J. Radcliffe, Patrick D. Surry
core +1 more source
IET Optoelectronics, Volume 20, Issue 1, January/December 2026.In this paper, we have reviewed six distinct metaheuristic optimisation algorithms applicable to challenging problems in electromagnetics and optics. Specifically, we applied each method to the synthesis of GMR narrowband reflection filters and performed a systematic comparative evaluation. ABSTRACT The design of optical elements often requires precise
Amirreza Asadollahzadeh +2 more
wiley +1 more source
, 2017 Evolutionary algorithms (EAs) have recently been suggested as candidate for solving big data optimisation problems that involve very large number of variables and need to be analysed in a short period of time.
Yearwood, John +2 more
core +1 more source
A study on meme propagation in multimemetic algorithms
International Journal of Applied Mathematics and Computer Science, 2015 Multimemetic algorithms (MMAs) are a subclass of memetic algorithms in which memes are explicitly attached to genotypes and evolve alongside them. We analyze the propagation of memes in MMAs with a spatial structure.
Nogueras Rafael, Cotta Carlos
doaj +1 more source
Improved Memetic Algorithm for Solving the Minimum Weight Vertex Independent Dominating Set
Mathematics, 2020 The minimum weight vertex independent dominating set (MWVIDS) problem is an important version of the minimum independent dominating set. The MWVIDS problem has a number of applications in many fields.
Yupeng Zhou +5 more
doaj +1 more source
IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.ABSTRACT This paper provides a comprehensive examination of the evolving protection challenges within DC microgrids powered by renewable resources and energy storage systems. It begins by delineating the methodological framework of conventional protection, critically assessing schemes based on current, voltage, and impedance to expose their limitations
Mohamed Elmadawy +7 more
wiley +1 more source
Memetic algorithms for dynamic optimization problems
, 2013 Dynamic optimization problems challenge traditional evolutionary algorithms seriously since they, once converged, cannot adapt quickly to environmental changes.
Hongfeng Wang +3 more
core +1 more source
Classification of adaptive memetic algorithms: A comparative study
, 2006 Adaptation of parameters and operators represents one of the recent most important and promising areas of research in evolutionary computations; it is a form of designing self-configuring algorithms that acclimatize to suit the problem in hand. Here, our
Wong, K.W. +11 more
core +1 more source